Discrete Sampling

Scalable Subset Sampling with Neural Conditional Poisson Networks

A number of problems in learning can be formulated in terms of the basic primitive of sampling $k$ elements out of a universe of $n$ elements. This subset sampling operation cannot directly be included in differentiable models, and approximations are …